Back-End Development AI Journey
A 12-week learning journey to transform how you build and maintain backend systems using AI tools. Six sprints from context engineering to capstone.
Context Engineering
Write CLAUDE.md files that make AI useful on legacy code. Structure project context so AI produces working backend code on the first try.
Weeks 1-2
Workflow Automation
Automate DB migrations, API scaffolding, test generation. Use AI for refactoring legacy patterns and generating boilerplate.
Weeks 3-4
Agentic Patterns
Run AI agents autonomously for refactoring, test coverage improvement, and multi-step development workflows.
Weeks 5-6
Integration & Systems
Integrate AI into CI/CD pipelines, build MCP servers for database access, and create AI-powered code review workflows.
Weeks 7-8
Advanced Application
Use AI to tackle hard legacy codebase problems: microservice decomposition, performance analysis, architectural decisions.
Weeks 9-10
Capstone & Transfer
Build a reusable tool or workflow for other backend devs, plus documentation and a knowledge transfer workshop.
Weeks 11-12